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Artificial intelligence is to be considered a major facet in the frontier of
technological innovation. Also and more commonly refereed as AI, artificial intelligence
as defined by John McCarthy, a pioneer in the field is “the science and engineering of
creating intelligent machines and software systems”. Although AI is not constrained
within a biological framework, its intended purpose revolves around developing
technological systems that can understand and emulate “human intelligence.” Even in
these early stages of its development, AI has many cross-disciplinary applications some
of which include, computer science, psychology, philosophy, neuroscience, and
engineering to name a few. In efforts to further the progression of this field of study, a
number of key questions must be sufficiently answered. For instance, what is
intelligence, and is it able to be adequately transferred into inanimate objects for purposes
of achieving certain intended objectives? Therein lies the need for philosophical analysis
of what the possibilities are regarding AI, along with what foreseeable implications of
these possibilities may result.
Let us take a look at what some of these intended objectives are of AI
development and what they require in the way of intelligence faculties. Intelligent
behavior includes the autonomous exhibition of control, planning, scheduling, speech,
handwriting, and facial recognition. All of these aforementioned displays of behavior are
considered to be what we call subjective in application as well as interpretation.
Subjectivity within this purview, is the nature of “cognitive” conceptualization as it is
known in the “mind” as distinct from a thing in itself. Of course the concepts of cognition
and the mind are unique aspects of the biological human reality, thereby not entirely
characteristic of what occurs within mechanical processing. These concepts however, will
have to do for now in efforts to effectively explain their intended relatedness to humanlike activity.
The question becomes, to what extent can we legitimately automate the
epistemology of subjective human consciousness in order to effectively produce truly
intelligently processing machines? Essentially what is to be said from this is that in order
to in affect create intellectual consciousness there must exist the human-like duality
between the material systems (brain), in tandem with the mental process which exists
within the intangible construct of the mind. Conscious acts are simply postulated to be
interpretable somehow analogously to physical acts of measurement. Such accounts may
provide fascinating scientific theory concerning the abstract relatedness to physical or
material phenomenon. However, unless such detailed work leads beyond vague
metaphors and analogies, they cannot yet represent scientific progress in the way of
fabricating like-phenomenon within manufactured systems.
In my discussions I will explore a number of various theories and concerns
regarding the relative possibilities inherent in such scientific inquiry. There also lies a
considerable degree of stock in the areas of quantum analysis in association with the
possible distinctions between the physical constructs of material systems such as a brain
and the causality of a mental state representing consciousness. Given that, this series of
reports will cover a number of these positions pertaining to this inquiry; beginning with
the initial approaches to measure intelligence with the Turing tests and like-applications
to the more progressive quantum analysis of possibilities.